Human-centered artificial intelligence in education: Seeing the invisible through the visible

By Stephen J. H. Yang, H. Ogata, T. Matsui, Nian-Shing Chen. Computers and Education: Artificial Intelligence, 2021

312 citations recorded by the source corpus.

Abstract The inevitable rise and development of artificial intelligence (AI) was not a sudden occurrence. The greater the effect that AI has on humans, the more pressing the need is for us to understand it. This paper addresses research on the use of AI to evaluate new design methods and tools that can be leveraged to advance AI research, education, policy, and practice to improve the human condition. AI has the potential to educate, train, and improve the performance of humans, making them better at their tasks and activities. The use of AI can enhance human welfare in numerous respects, such as through improving the productivity of food, health, water, education, and energy services. However, the misuse of AI due to algorithm bias and a lack of governance could inhibit human rights and result in employment, gender, and racial inequality. We envision that AI can evolve into human-centered AI (HAI), which refers to approaching AI from a human perspective by considering human conditions and contexts. Most current discussions on AI technology focus on how AI can enable human performance. However, we explore AI can also inhibit the human condition and advocate for an in-depth dialog between technology- and humanity-based researchers to improve understanding of HAI from various perspectives.

Subfields: Computer Science Applications, Health Informatics, Safety Research

View Paper: https://www.semanticscholar.org/paper/8a90ab1c8336d99048e16d5ce3e0148da7cf1371

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Lixiang Yan
2. Mian Wu
3. Pengcheng Jiao
4. Luyi Zheng
5. Liyin Zhang
6. Ouyang Fan
7. Dragan Gasevic

In Health Informatics

1. Anna Y. Q. Huang
2. Chien-Chang Lin
3. Dragan Gasevic
4. Owen H. T. Lu

In Safety Research

1. Lixiang Yan
2. Pengcheng Jiao
3. Luyi Zheng
4. Ouyang Fan
5. Dragan Gasevic

Citations in the corpus

• Human-in-the-loop machine learning: a state of the art (2022, background): “Useful AI is part of a broader movement known as Human-centered AI (HAI) which refers to approaching AI from a human perspective by considering human conditions and contexts (Yang et al. 2021; Shneiderman 2020).”
• Promises and challenges of generative artificial intelligence for human learning (2024, unknown): “This aligns with the growing emphasis on developing explainable and human­centred AI, underscoring the essential role of stakeholder involvement in crafting impactful and meaningful educational technologies 78,79 .”
• Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course (2023, methodology): “While admitting the fact that AI performs better computing and logic decision-making than human, it is extensively accepted that certain characteristics of human beings are unreplaceable, e.g., cognitions, emotions, feelings, perceptions, etc. (Yang et al., 2021).”
• Practical and ethical challenges of large language models in education: A systematic scoping review (2023, background): “This finding resonates with the call for explainable and human-centred AI, which stresses the vital role of stakeholders in developing meaningful and impactful educational technology (Khosravi et al., 2022; Yang et al., 2021).”
• Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review (2023, methodology): “The typical approach involves using machine learning algorithms with a feature extraction process to predict students’ performance (Guerrero-Higueras et al., 2018; Yang et al., 2021a, b).”
• Learning and development (2013, unknown): “In particular, a number of modern studies have determined that the widespread use of virtual reality (VR) and artificial intelligence (AI) contributes to the formation of various interactive learning environments (Yang et al., 2021).”